learning_rate: 0.0001
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
2.0293	1.0	330	1.9741	0.2832	0.1707
1.9647	2.0	660	1.9200	0.3949	0.2933
1.9221	3.0	990	1.8736	0.4171	0.3336
1.8875	4.0	1320	1.8436	0.4211	0.3419
1.8633	5.0	1650	1.8225	0.4380	0.3739
1.8451	6.0	1980	1.8029	0.4596	0.4718
1.8321	7.0	2310	1.7910	0.4717	0.5035
1.8214	8.0	2640	1.7819	0.4710	0.4954
1.8139	9.0	2970	1.7764	0.4744	0.5062
1.8101	10.0	3300	1.7753	0.4753	0.5099

RonTon05/multi_task_model_content

multi_task_model_content